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IJHPCN
2008
94views more  IJHPCN 2008»
15 years 5 months ago
Analysing and improving clustering based sampling for microprocessor simulation
: We propose a set of statistical metrics for making a comprehensive, fair, and insightful evaluation of features, clustering algorithms, and distance measures in representative sa...
Yue Luo, Ajay Joshi, Aashish Phansalkar, Lizy Kuri...
127
Voted
SIAMCOMP
2008
80views more  SIAMCOMP 2008»
15 years 4 months ago
The Symmetric Group Defies Strong Fourier Sampling
Part I of this paper showed that the hidden subgroup problem over the symmetric group--including the special case relevant to Graph Isomorphism--cannot be efficiently solved by st...
Cristopher Moore, Alexander Russell, Leonard J. Sc...
143
Voted
PRL
2006
106views more  PRL 2006»
15 years 4 months ago
Invariances in kernel methods: From samples to objects
This paper presents a general method for incorporating prior knowledge into kernel methods such as Support Vector Machines. It applies when the prior knowledge can be formalized b...
Alexei Pozdnoukhov, Samy Bengio
TNN
2008
177views more  TNN 2008»
15 years 4 months ago
Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model
Previous work on statistical language modeling has shown that it is possible to train a feed-forward neural network to approximate probabilities over sequences of words, resulting...
Yoshua Bengio, Jean-Sébastien Senecal
RAS
2002
92views more  RAS 2002»
15 years 4 months ago
Information Sampling for vision-based robot navigation
This paper proposes a statistical, non-feature based, attention mechanism for a mobile robot, termed Information Sampling. The selected data may be a single pixel or a number scat...
Niall Winters, José Santos-Victor